🤯炸了！64GB 内存直接炸开最强开源模型！DeepSeek-V4.1-Flash-1017 本地高性能彻底落地！
This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
🤯炸了！64GB 内存直接炸开最强开源模型！DeepSeek-V4.1-Flash-1017 本地高性能彻底落地！ Unsloth 正式放出 DeepSeek-V4.1-Flash-1017 全新 GGUF，Dynamic V3.1 量化在多项基准上全面碾压！ 核心亮点 🔹Dynamic V3.1 在 GPQA Diamond、AIME25、LiveCodeBench v6、MMLU-Pro、Aider 等几乎全部基准上排名第一 🔹相比前版性能更强、任务完成更快、输出更短，性价比全面提升 🔹仅需 64GB+ RAM 即可运行（Engram n-gram 支持 SSD offload，大幅降低内存占用） 🔹Unsloth + llama.cpp 推理速度最高提升约 3 倍 🔹552B 骨干 + Engram，支持 1M 上下文，目前最强开源模型之一 使用步骤： 1️⃣下载 GGUF：https://huggingface.co/unsloth/DeepSeek-V4.1-Flash-1017-GGUF 2️⃣使用 Unsloth Desktop App，或对应 llama.cpp PR（推荐） 3️⃣启用 Engram offload（mmap + lazy mode），把大表放 SSD 4️⃣推荐采样：temperature=1.0，top_p=1.0（可按需调
Posted by SuSu_酥酥👅 (25k followers) 7 h ago · 547 likes · 43.4k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: deepseek-v4.1-flash-1017-gguf, unsloth.ai, project-maya.git, project-maya.
More dev work like this
- 🎃Dario给中国人民带来的极致恐怖从Claude无情封号开始 — @NFT_Chen
- Mia's Qwen3.8-Flash-Next recipe on a DGX Spark: one command, first try, 2 min to the… — @niklaslenz_ai
- 给AI喂一整仓，最烦的就是它每回都从头翻文件，这毛病你多半也遇到过。 — @bkdgiffug
- Coding agents aren't slow because they're dumb. They're slow because every edit waits on… — @RunAnywhereAI
- ICYMI: Foursquare co-founder @dens sat down with our Head of Product, AI, Jeff Smith at… — @automattic
- 🤯惊了！9B参数大模型，只需16G内存即可本地跑通，能力反超Qwen3.5-27B！ — @NFT_Chen
- Introducing JetSpec++: we find causal parallel drafting paired with hidden states… — @haoailab
- Build the agent, test the agent, grade the results, change the agent, run the test cases… — @rseroter
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 20:27 UTC. Full method.